Contract grant sponsor: MIT-Masdar Institute of Science and Technology collaborative research grant, Project Code 400030.
Functional and Spatial System Model for City Infrastructure Systems: A City.Net IES Case Study
Article first published online: 24 MAY 2013
© 2013 Wiley Periodicals, Inc.
Volume 17, Issue 1, pages 62–76, Spring 2014
How to Cite
Adepetu, A., Grogan, P., Alfaris, A., Svetinovic, D. and de Weck, O. L. (2014), Functional and Spatial System Model for City Infrastructure Systems: A City.Net IES Case Study. Syst. Engin., 17: 62–76. doi: 10.1002/sys.21251
- Issue published online: 27 JAN 2014
- Article first published online: 24 MAY 2013
- Manuscript Revised: 13 OCT 2012
- Manuscript Accepted: 13 OCT 2012
- Manuscript Received: 3 JUL 2012
- MIT-Masdar Institute of Science and Technology collaborative research. Grant Number: 400030
- power system modeling;
- decision support systems;
- load flow analysis;
- distributed power generation
City infrastructure systems have distinct functions but are not isolated from one another, with interactions existing between these systems. Modeling these systems requires a focus on the system functions and interdependencies. Most models focus on system failures rather than the unexpected effects of design decisions in these systems. This paper presents a functional and spatial modeling framework suited for the representation of city infrastructure systems. This framework comprises a systematic process for breaking down the system into fundamental components and defining the relations between the system components. In addition, the spatial feature of the framework facilitates the synthesis, analysis, and evaluation of infrastructures based on their geographical locations and spatial orientations. This system modeling approach is used to design an Integrated Energy System (IES) model in order to exhibit the features of this framework. The IES consists of standard energy system estimation techniques and tools such as MATPOWER for load flow analysis, and is also used to execute a city case study. As a result, the advantages of the functional and spatial framework for modeling city infrastructures are presented.